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Enriching Representation and Enhancing Nearest Neighbor Classification of Slope/Landslide Data Using Rectified Feature Line Segments and Hypersphere-Based Scaling: A Reproducible Experimental Comparison
Measuring geotechnical and natural hazard engineering features, along with pattern recognition algorithms, allows us to categorize the stability of...
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Damage detection of 3D structures using nearest neighbor search method
An innovative damage identification method using the nearest neighbor search method to assess 3D structures is presented. The frequency response...
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New approaches to improve nearest neighbors (NN) search in ionospheric simulation system
This work is related to the Earth’s ionosphere simulation and prediction system developed in the Brazilian Space Weather program, which process a...
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Multi-Objective Firefly Integration with the K-Nearest Neighbor to Reduce Simulation Model Calls to Accelerate the Optimal Operation of Multi-Objective Reservoirs
Reservoirs are used as one of the surface water sources for different and often conflicting water supply purposes. Given the complex management...
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Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain
Recently, one of the most frequent natural hazards around several regions in the world is the landslide events. The area of Jabal Farasan in the...
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The Anomaly Detector, Semi-supervised Classifier, and Supervised Classifier Based on K-Nearest Neighbors in Geochemical Anomaly Detection: A Comparative Study
Unsupervised anomaly detection techniques mainly model the population distribution of geochemical exploration data, but do not consider the mineral...
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Robust Earthquake Cluster Analysis Based on K-Nearest Neighbor Search
Grou** of earthquakes into distinct clusters is applied to improve mechanism identification and pattern recognition for active seismicity in a...
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Fuzzy nearest neighbor approach for drought monitoring and assessment
In this paper, a new approach is proposed based on the Fuzzy -nearest neighbor model to deal with drought monitoring. According to the Standardized...
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UAV Remote Sensing for Campus Monitoring: A Comparative Evaluation of Nearest Neighbor and Rule-Based Classification
UAV technology when aided with the unique data acquisition strategies, preprocessing techniques and analytical abilities of an established domain of...
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Spatial prediction of soil properties using random forest, k-nearest neighbors and cubist approaches in the foothills of the Ural Mountains, Russia
Soil organic matter (SOM) and pH are important indicators to evaluate soil quality. This study applied several machine learning (ML) techniques,...
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Response of topographic control on nearest-neighbor diffusion-based pan-sharpening using multispectral MODIS and AWiFS satellite dataset
Remote sensing plays a significant role in monitoring of the undulating the Himalayas. With continuous monitoring, the preservation of natural...
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A Modified k-Nearest-Neighbors Method and Its Application to Estimation of Seismic Intensity
A modified k -nearest-neighbors method is introduced that provides an efficient nonlinear estimate of the intensity of a point process (field) based...
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Evaluating structural indices of Pistacia atlantica Desf. and Prunus arabica (Olivier) Meikle stands: Iranian forest lands Case Study
In this study, the nearest neighbor indices and diameter distribution in Pistacia atlantica Desf. and Prunus arabica (Olivier) Meikle stands in Iran...
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Identification of the correlation between land subsidence and groundwater level in Cangzhou, North China Plain, based on time-series PS-InSAR and machine-learning approaches
Land deformation is a severe environmental problem that is often caused by groundwater overexploitation. Traditional approaches, such as those based...
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Automatic lithological map** from potential field data using machine learning: a case study from Mundiyawas-Khera Cu deposit, Rajasthan, India
Potential field data play a vital role in mineral resource map**, especially in deriving the lithological information of poorly mapped terrains....
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Streamflow prediction based on machine learning models and rainfall estimated by remote sensing in the Brazilian Savanna and Amazon biomes transition
The prediction of streamflow is essential for reservoir operations, especially flood mitigation and hydroelectricity production, as it can have...
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Identification of rock mass discontinuity from 3D point clouds using improved fuzzy C-means and convolutional neural network
Accurately obtaining rock mass discontinuity information holds particular significance for slope stability analysis and rock mass classification....
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Landslide susceptibility map** and sensitivity analysis using various machine learning models: a case study of Beas valley, Indian Himalaya
Landslide is one of the most destructive hazards in the Upper Beas valley of the Himalayan region of India. Landslide susceptibility map** is an...
